Azure Databricks Data Engineer

Job overview

The Azure Databricks Data Engineer role is 100% onsite in Frederick, MD, for a six-month duration. Compensation is $68–$70 per hour on W-2, without benefits. The engineer collaborates with business, analytics, architecture, and delivery teams in an Agile environment. The role develops scalable data engineering solutions and trusted datasets for reporting, analytics, and downstream applications. It contributes by building and optimizing batch and streaming pipelines, implementing data quality and governance controls, and delivering reusable data processing patterns.

What you'll do

• Design, develop, and maintain Azure Databricks data engineering solutions
• build batch and real-time pipelines using Apache Spark and Structured Streaming
• implement Lakehouse, Medallion Architecture, and Delta Lake
• develop reusable ETL/ELT frameworks and ingestion patterns
• process data from databases, APIs, message queues, and files
• develop transformations using PySpark, Python, and SQL
• create governed datasets
• implement data quality, validation, reconciliation, audit, and governance controls
• manage and optimize Databricks Workflows, Delta Live Tables, Unity Catalog, and Databricks SQL
• collaborate with business, analytics, architecture, and delivery teams.

What we're looking for

Skills & competencies

azure databricks

data engineer

frederick md

artech

onsite

six-month duration

$68–$70/hour

w-2

apache spark

pyspark

python

delta lake

structured streaming

unity catalog

Work arrangement

• Weekend coverage required

Benefits & perks

• Posting states the hourly range is on W-2 without benefits.

Why this role

Six-month duration; 100% onsite; W-2 arrangement without benefits; 7+ years each in Azure Databricks, PySpark, and Python required.

About the employer

Artech LLC is hiring for this role. Industry: Computer Facilities Management Services. Sector: 54.